Agent-based Modelling and Simulation

Agent-based modelling and simulation is a technology that enables the analysis of complex systems by simulating the behaviour of individual components (agents) and their interactions with one another in a virtual environment. It is used to study and predict the behaviour of systems ranging from financial markets to epidemics and can provide insights into, and help optimise, real-world problems. Agent-based modelling and simulation has become increasingly popular in recent years due to the growth of computational power, improved methods for creating agent-based models, and new insights into modelling complex problems. Its use has allowed for an interdisciplinary approach to problem solving and can be a powerful tool for policy makers and industry.